The feedforward-designed convolutional neural network (FF-CNN)
[1]} plays a transitional role from DL to GL.
It follows the standard CNN architecture but determines the filter
weights in a feedforward one-pass manner. Filter weights in the
convolutional layers of FF-CNN are determined by the Saab transform
without supervision.
